Jonathan E. Gable
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Biochemical and Molecular Research 3
- Biochemical and Structural Characterization 2
- Protein Structure and Dynamics 2
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- Herpesvirus Infections and Treatments 3
- Cytomegalovirus and herpesvirus research 2
- Co-authors
- Diana E. Schlamadinger (5 shared papers)Judy E. Kim (5 shared papers)Avner Schlessinger (1 shared paper)Hao Fan (1 shared paper)Kathleen M. Giacomini (1 shared paper)Ethan G. Geier (1 shared paper)John J. Irwin (1 shared paper)Andrej Săli (1 shared paper)
- Journals
- Biochemistry (3 papers)Journal of the American Chemical Society (1 paper)Journal of Molecular Biology (1 paper)Journal of Medicinal Chemistry (1 paper)Chemical Reviews (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Jonathan E. Gable
12 papers receiving 387 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 101
- Microbiology 22
- Molecular Biology 240
- Biophysics 17
- Oncology 80
Countries citing papers authored by Jonathan E. Gable
This map shows the geographic impact of Jonathan E. Gable's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jonathan E. Gable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Gable more than expected).
Fields of papers citing papers by Jonathan E. Gable
This network shows the impact of papers produced by Jonathan E. Gable. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jonathan E. Gable. The network helps show where Jonathan E. Gable may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Gable, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2009 | 60 | |
| 3 | 2008 | 40 | |
| 4 | 2011 | 29 | |
| 5 | 2008 | 25 | |
| 6 | 2014 | 21 | |
| 7 | 2009 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2014 | 13 | |
| 10 | 2016 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2009 | 7 |
About Jonathan E. Gable
Jonathan E. Gable is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Microbiology and Organic Chemistry, having authored 12 papers that have together received 390 indexed citations. Recurring topics across this work include Biochemical and Molecular Research (3 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Biochemical and Structural Characterization (2 papers), HIV/AIDS drug development and treatment (2 papers), Protein Structure and Dynamics (2 papers), Antimicrobial Peptides and Activities (2 papers) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biochemistry (101 citations), Microbiology (22 citations), Molecular Biology (240 citations), Biophysics (17 citations) and Oncology (80 citations). Jonathan E. Gable has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Diana E. Schlamadinger, Judy E. Kim, Avner Schlessinger, Hao Fan, Kathleen M. Giacomini, Ethan G. Geier, John J. Irwin, Andrej Săli, Charles S. Craik and Katheryn M. Sanchez. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Journal of Molecular Biology, Journal of Medicinal Chemistry and Chemical Reviews.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.